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ADF Data Science Senior Software Engineer Interview Questions and Answers

Updated 4 May 2019

ADF Data Science Senior Software Engineer Interview Experiences

2 interviews found

Interview Questionnaire 

2 Questions

  • Q1. The company being product based focused majorly on algorithm knowledge than the knowing in and out of the language.The best solution to different problems needs to be solved on the spot.solving problems in...
  • Q2. Puzzles and algorithms

Interview Questionnaire 

1 Question

  • Q1. Mostly being a product company I was asked logical problems like best algorithm for certain problem solutions. Solving problems continuously on hacker rank or similar platforms can be really helpful.

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Interview questions from similar companies

Interview experience
5
Excellent
Difficulty level
-
Process Duration
-
Result
-
Round 1 - Technical 

(1 Question)

  • Q1. Basic QA related Questions

I applied via Naukri.com and was interviewed in Jun 2021. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all Resume tips
Round 2 - Technical 

(7 Questions)

  • Q1. What is the difference between List and Tuple?
  • Ans. 

    List is mutable and Tuple is immutable in Python.

    • List can be modified after creation while Tuple cannot be modified.

    • List uses square brackets [] while Tuple uses parentheses ().

    • List is used for homogenous data while Tuple is used for heterogenous data.

    • List is slower than Tuple in terms of performance.

    • Example of List: [1, 2, 3] and Example of Tuple: (1, 'hello', 3.14)

  • Answered by AI
  • Q2. What is __init__ ? Follow up question why is __ (double underscore) used?
  • Q3. A SQL query based on group by and order by DESC LIMIT 1 in order to fetch highest row of a group in a dataset given by panelist.
  • Q4. A simple query on SQL using group by and aggregate function.
  • Q5. Panelist asked about my previous work experience and projects I worked upon earlier and the technologies used.
  • Q6. Question on how do we create table using SQL Alchemy in Flask (since I had used Python Flask in one of my previous projects and had highlighted it pretty well on my resume).
  • Q7. How is memory managed in Python?
  • Ans. 

    Python uses automatic memory management through garbage collection.

    • Python uses reference counting to keep track of memory usage.

    • When an object's reference count drops to zero, it is deleted.

    • Python also uses a garbage collector to handle circular references.

    • Memory allocation is handled by the Python memory manager.

    • Python provides tools like the 'gc' module for managing memory usage.

  • Answered by AI
Round 3 - Technical 

(5 Questions)

  • Q1. Question on List operation.
  • Q2. Do you know numpy pandas?
  • Ans. 

    Yes, numpy and pandas are Python libraries used for data analysis and manipulation.

    • NumPy is used for numerical operations on arrays and matrices.

    • Pandas is used for data manipulation and analysis, providing data structures like DataFrame.

    • Both libraries are commonly used in data science and machine learning.

    • Example: import numpy as np; import pandas as pd;

  • Answered by AI
  • Q3. A question to count number of times a letter occurs in a sentence and then also find the maximum occurring letter.
  • Q4. Difference between generator and iterator?
  • Ans. 

    Generator generates values on the fly while iterator iterates over a collection of values.

    • Generator is a function that returns an iterator.

    • Generators use 'yield' keyword to return values one at a time.

    • Iterators are objects that implement the 'next' method to return the next value in a collection.

    • Iterators can be created from arrays, strings, maps, sets, etc.

    • Generators are useful for generating large sequences of values...

  • Answered by AI
  • Q5. What is the selling point about you why should we consider you over other candidate?
Round 4 - HR 

(2 Questions)

  • Q1. Why are you looking for a change?
  • Q2. What are your salary expectations?

Interview Preparation Tips

Topics to prepare for Tiger Analytics Senior Software Engineer interview:
  • Python
  • SQL
  • Logic Building
  • Numpy
  • Pandas
Interview preparation tips for other job seekers - Be honest about what you know and what you don't. Prepare your resume very well highlighting your best projects and keep good knowledge about them. Search for common interview questions asked for the role you are applying. Practice coding questions over coding platforms whichever you like , if required (depends on the role you are applying for)

Skills evaluated in this interview

I applied via Naukri.com and was interviewed in Sep 2021. There were 3 interview rounds.

Interview Questionnaire 

1 Question

  • Q1. All questions are mainly related to sql,spark, understanding of data structures ,performance tuning,scenario based questions.

Interview Preparation Tips

Interview preparation tips for other job seekers - Nice interview and interview panel as well

I applied via LinkedIn and was interviewed in Sep 2021. There were 4 interview rounds.

Round 1 - Coding Test 

There were 4 sections-
1.Big data-some multiple choice questions
2.Python-2 basic programming questions
3.SQL-4 case questions on SQL queries
4.Pyspark-Basic multiple choice questions

Round 2 - Coding Test 

Same as round 1 but there were no multiple choice questions,it was a subjective paper where they check your thought process and your approach.

Round 3 - Technical 

(1 Question)

  • Q1. Technical interview was based on -Your project discussion -Big data terminologies,Spark framework,working and architecture -Some case study questions and how you could have optimized it. -SQL basic querie...
Round 4 - HR 

(4 Questions)

  • Q1. Share details of your previous job.
  • Q2. Why are you looking for a change?
  • Q3. What are your salary expectations?
  • Q4. Tell me about yourself.

Interview Preparation Tips

Topics to prepare for Tiger Analytics Senior Software Engineer interview:
  • Pyspark
  • Spark
  • Azure data factory
  • SQL
  • Python
  • Big data
Interview preparation tips for other job seekers - Just focus on spark,big data terminologies and architecture,spark architecture,SQL queries,Python basics,Azure data factory terminologies
Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Don’t add your photo or details such as gender, age, and address in your resume. These details do not add any value.
View all Resume tips
Round 2 - Coding Test 

Spark, python related questions

Round 3 - Technical 

(1 Question)

  • Q1. Previous project, scenario based problem to solve
Round 4 - HR 

(1 Question)

  • Q1. Package, preffered location

Interview Preparation Tips

Interview preparation tips for other job seekers - Fundamentals of Spark and sql, previous project architecture and related questions.
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
2-4 weeks
Result
Selected Selected

I applied via Recruitment Consulltant and was interviewed in Jun 2023. There were 4 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Keep your resume crisp and to the point. A recruiter looks at your resume for an average of 6 seconds, make sure to leave the best impression.
View all Resume tips
Round 2 - Technical 

(1 Question)

  • Q1. Python, Django questions Easy to Medium level DSA Discussion on Project and previous work experience Some SQL queries
Round 3 - Technical 

(1 Question)

  • Q1. Some Python questions and discussion on work experience Some design question like how you will design backend for some project from scratch Some managerial questions Questions on git
Round 4 - HR 

(1 Question)

  • Q1. Some basic HR questions

Interview Preparation Tips

Interview preparation tips for other job seekers - Be confident
Interview experience
3
Average
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
-

I applied via Naukri.com and was interviewed in Dec 2024. There were 3 interview rounds.

Round 1 - Technical 

(1 Question)

  • Q1. Questions on java , spring boot , containarisation tools, coding, SOLID principles
Round 2 - Assignment 

5 coading questions were asked in it

Round 3 - HR 

(1 Question)

  • Q1. Manegerial round
Interview experience
4
Good
Difficulty level
Moderate
Process Duration
Less than 2 weeks
Result
Selected Selected

I applied via Naukri.com and was interviewed in Jan 2023. There were 3 interview rounds.

Round 1 - Resume Shortlist 
Pro Tip by AmbitionBox:
Properly align and format text in your resume. A recruiter will have to spend more time reading poorly aligned text, leading to high chances of rejection.
View all Resume tips
Round 2 - One-on-one 

(1 Question)

  • Q1. Spark architecture pyspark coding sql coding
Round 3 - One-on-one 

(1 Question)

  • Q1. Spark architecture sql window functions,aggreate functions pyspark data frame coding

Interview Preparation Tips

Interview preparation tips for other job seekers - Prepare sql, python, pyspark dataframe coding, data modelling
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ADF Data Science Interview FAQs

How to prepare for ADF Data Science Senior Software Engineer interview?
Go through your CV in detail and study all the technologies mentioned in your CV. Prepare at least two technologies or languages in depth if you are appearing for a technical interview at ADF Data Science. The most common topics and skills that interviewers at ADF Data Science expect are Campaigns, Coding, Continuous Improvement, HTML and Operational Support.
What are the top questions asked in ADF Data Science Senior Software Engineer interview?

Some of the top questions asked at the ADF Data Science Senior Software Engineer interview -

  1. The company being product based focused majorly on algorithm knowledge than the...read more
  2. Mostly being a product company I was asked logical problems like best algorithm...read more
  3. Puzzles and algorit...read more

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ADF Data Science Senior Software Engineer Salary
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₹7.1 L/yr - ₹15 L/yr
25% less than the average Senior Software Engineer Salary in India
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